CIFRE - Deep Learning-Based Motion Planning for Autonomous Driving
Tasks
- Analyze computational cost and memory footprint
- Develop deep learning motion planning framework
- Implement imitation learning and reinforcement learning pipeline
- Integrate perception prediction and decision making
- Optimize models for embedded real time deployment
- Train and evaluate models on real and public datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Agent systems | Birds Eye View | C++ | Computer Vision | Deep Q-Network | Deep learning | Imitation Learning | Mathematics | Motion Planning | Multi-Agent | Multi-Agent Systems | Neural Network | Policy Optimization | Proximal Policy Optimization | Python | Reinforcement Learning | Rust | Simulation | Soft Actor Critic | Transformers
Education
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